addalpha | Add alpha |
colorRampPaletteAlpha | Add alpha and ramps between colors |
gbm.cverr | Tune gbm via cross-validation to find the best set of... |
gbm_grid | CV Tune gbm fits over a grid of parameters in parallel |
influence | Compute variable influence (influence) scores from 'mvtboost'... |
metb | Boosted decision trees with random effects |
mvtb | Fitting a Multivariate Tree Boosting Model |
mvtb.cluster | Clustering the covariance explained or relative influence... |
mvtb.covex | Estimate the covariance explained matrix |
mvtb.heat | Clustered heatmap of tables from 'mvtb' |
mvtb.nonlin | Detect departures from linearity from a multivariate tree... |
mvtboost-package | Tree Boosting for Multivariate Outcomes |
mvtb.perspec | Perspective plot for 2 predictors and 1 response. |
mvtb.ri | Computes the relative influence of each predictor for each... |
mvtb.uncomp | Uncompress a compressed mvtb output object |
pcb | boost principal components of outcomes |
perf.metboost | #' Marginal plots for metboost objects #' #' The fitted... |
plot.mvtb | Plots the model implied effect of 1 predictor for one outcome |
predict.metb | Prediction for metb objects |
predict.mvtb | Predicted values |
predict.pcb | Predicted values from principal components boosting |
predict.twostage | Prediction for twostage objects |
print.gbm.cverr | Print gbm.cverr Object |
print.mvtb | Simple default printing of the mvtb output object |
summary.gbm.cverr | Summarizing gbm.cverr Results |
summary.metb | Reports the relative influence of each predictor in an metb... |
summary.mvtb | Computes a summary of the multivariate tree boosting model |
twostage | Two stage lmer boost |
wellbeing | Psychological well-being |
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